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Modeling and Identification of an Electric Vehicle Braking System: Thermal and Tribology Phenomena Assessment
Technical Paper
2020-01-1094
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
A rapidly shifting market and increasingly stringent environmental regulations require the automotive industry to produce more efficient low-emission Electric Vehicles (EVs). Regenerative braking has proven to be a major contributor to both objectives, enabling the charging of the batteries during braking and a reduction of the load and wear of the brake pads. The optimal sizing of such systems requires the availability of good simulation models to improve their performance and reliability at all stages of the vehicle design. This enables the designer to study both the integration of the braking system with the full vehicle equipment and the interactions between electrical and mechanical braking strategies. This paper presents a generic simulation framework for the identification of thermal and wear behaviour of a mechanical braking system, based on a lumped parameter approach. The thermal behaviour of the system is coupled back to the friction coefficient between the pad and the disk to assess its effect on braking performance. Additionally, the effect of wear and temperature on the generation of airborne particles is investigated. Subsequently, experimental data collected on a real EV is used to validate and tune the previously described simulation model, following a proposed validation procedure. The instrumentation method and challenges, as well as the experimental procedure used to collect the data on a chassis dynamometer and in real-world driving conditions, are described. Finally, simulation results for different driving scenarios are used to compare virtual and experimental results.
Authors
- Thomas D’hondt - Siemens Industry Software NV
- Bart Forrier - Siemens Industry Software NV
- Mathieu Sarrazin - Siemens Industry Software NV
- Tommaso Favilli - Università degli Studi di Firenze
- Luca Pugi - Università degli Studi di Firenze
- Lorenzo Berzi - Università degli Studi di Firenze
- Riccardo Viviani - Università degli Studi di Firenze
- Marco Pierini - Università degli Studi di Firenze
Topic
Citation
D’hondt, T., Forrier, B., Sarrazin, M., Favilli, T. et al., "Modeling and Identification of an Electric Vehicle Braking System: Thermal and Tribology Phenomena Assessment," SAE Technical Paper 2020-01-1094, 2020, https://doi.org/10.4271/2020-01-1094.Data Sets - Support Documents
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References
- European Environment Agency 2018 10.2800/77428
- Ruan , J. , Walker , P.D. , Watterson , P.A. , and Zhang , N. The Dynamic Performance and Economic Benefit of a Blended Braking System in a Multi-Speed Battery Electric Vehicle Applied Energy 183 1240 1258 2016 10.1016/j.apenergy.2016.09.057
- Zhang , J. , Lv , C. , Gou , J. , and Kong , D. Cooperative Control of Regenerative Braking and Hydraulic Braking of an Electrified Passenger Car Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 226 10 1289 1302 2012 10.1177/0954407012441884
- de Santiago , J. , Bernhoff , H. , Ekergård , B. , Eriksson , S. , et al. Electrical Motor Drivelines in Commercial All-Electric Vehicles: A Review IEEE Transactions on Vehicular Technology 61 2 475 484 10.1109/TVT.2011.2177873
- Wager , G. , Whale , J. , and Braunl , T. Performance Evaluation of Regenerative Braking Systems Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 232 10 1414 1427 2018 10.1177/0954407017728651
- Berzi , L. , Favilli , T. , Locorotondo , E. , Pierini , M. , and Pugi , L. Real Time Models of Automotive Mechatronics Systems: Verifications on “Toy Models” IFToMM ITALY 2018 Advances in Italian Mechanism Science 68 141 148 10, 2018 10.1007/978-3-030-03320-0_15
- Pugi , L. , Favilli , T. , Berzi , L. , Locorotondo , E. , and Pierini , M. “Brake Blending and Optimal Torque Allocation Strategies for Innovative Electric Powertrains,” ApplePies 2018 Applications in Electronics Pervading Industry, Environment and Society 573 477 483 2019 10.1007/978-3-030-11973-7_57
- Pugi , L. , Favilli , T. , Berzi , L. , Locorotondo , E. , and Pierini , M. Application of Regenerative Braking on Electric Vehicles IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) 2019 1 6 10.1109/EEEIC.2019.8783318
- Crolla , D.A. and Cao , D. The Impact of Hybrid and Electric Powertrains on Vehicle Dynamics, Control Systems and Energy Regeneration Vehicle System Dynamics 50 95 109 2012 10.1080/00423114.2012.676651
- Grigoratos , T. and Martini , G. Brake wear Particle Emissions: A Review Environmental Science and Pollution Research International 22 10 2014 10.1007/s11356-014-3696-8
- Robertson , A. and Gross , D. An Electrical-Analog Method for Transient Heat-Flow Analysis Journal of Research of the National Bureau of Standards 61 105 1958 10.6028/jres.061.016
- Wahlstrom , J. A Comparison of Measured and Simulated Friction, Wear, and Particle Emission of Disc Brakes Tribology International 92 503 511 2015 10.1016/j.triboint.2015.07.036
- Andersson , S. Wear Simulation Advanced Knowledge Application in Practice Fuerstner , I. Rijeka IntechOpen 2010 10.5772/10349
- Perricone , G. , Matejka , V. , Alemani , M. , Valota , G. et al. A Concept for Reducing pm10 Emissions for Car Brakes by 50% Wear 396-397 135 145 2018 10.1016/j.wear.2017.06.018
- Garg , B.D. , Cadle , S.H. , Mulawa , P.A. , Groblicki , P.J. et al. Brake Wear Particulate Matter Emissions Environmental Science & Technology 34 21 4463 4469 2000 10.1021/es001108h
- Kus , A. , Isik , Y. , Cakir , M. , Coskun , S. , and Ozdemir , K. Thermocouple and Infrared Sensor-Based Measurement of Temperature Distribution in Metal Cutting Sensors 15 1274 1291 01, 2014 10.3390/s150101274
- Genta , G. and Morello , L. The Automotive Chassis: 1: Components Design Netherlands Springer 2009 10.1007/978-1-4020-8676-2